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Record W3029624744 · doi:10.1177/2325967120s00322

Patients outcome after distal femur- and proximal tibia replacement

2020· article· en· W3029624744 on OpenAlexaboutno aff
Tilman Graulich, CAROLINE KRANZ, Christoph Korallus, Marcus Örgel, Marco Haertlé, Mohamed Omar, Christian Krettek, Martin Panzica

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePeriprostheticSurgeryTibiaWOMACFemurArthroplastyRange of motionOrthopedic surgeryKnee replacementOxford knee scoreOsteoarthritis

Abstract

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Aims and Objectives: Mega-knee-arthroplasty are rare and indications are heterogeneous after fracture, tumour and infection. The outcome after distal femur- and/or proximal tibia replacement are unclear. We therefore wanted to analyse the postoperative outcome in case of primary and revision surgery. We hypothesize that I) Implantation of distal femur- and/or proximal tibia replacement are associated with reduced range of motion and function compared to the contralateral side and II) implantation in case of primary surgery is associated with better outcome than in case of revision surgery. Materials and Methods: We retrospectively analysed all patients in our trauma department between 1998 and 2017 who underwent a MUTARS distal femur replacement or proximal tibia replacement (Implantcast GmbH, Buxtehude, Germany). We collected general patients’ data, rang of motion, determined the Toronto extremity selvage score (TESS), musculoskeletal tumour society score (MSTS), knee society score (KSS) and Western Ontario MacMaster questionnaire (WOMAC) Score. Knee extension and flexion force was measured. Results: We included 59 patients with a mean age of 65+/-20 years. Out of these we had 19 (32%) male and 40 (68%) female patients. Mean follow up (f/up) was 36+/-57 month (range: 1-218). Indication for R-TKA was periprosthetic fractures (n=14), tumour (n=16), infection (n=10), traumatic fracture (n=14), aseptic loosening (n=3) and pathologic fracture (n=2). Indication for primary implantation was given in 33 (56%) patients and for implantation in case of revision surgery in 26 (44%) patients. Mean TESS was 66+/-33, mean MSTS was 14+/-7, mean KSS was 49+/-30, mean WOMAC was 36+/-26. Mean flexion on the operated side was 83°+/-24° compared to the healthy side (115°+/-20°) (p<0.001). Mean extension force on the operated side at 60° was 20+/-12 (Nm) compared to 77+/-58 (Nm) on the not operated side (p=0.31). Mean flexion force on the operated side at 60° was 32+/-26 (Nm) compared to 53+/-42 (Nm) on the not operated side (p=0.43). In case of revision surgery significant worse function scores in the TESS and KSS could be overserved (both p<0.05). Conclusion: Implantation of a distal femur- and/or proximal tibia replacement are associated with loss of flexion, a trend to reduced extension and flexion power compared to the contralateral side. In case of primary surgery better functional results in terms of function Scores can be expected than in case of revision surgery.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.253
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2020
Admission routes1
Has abstractyes

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